在适度稀疏的随机环境中随机漫步的最喜欢的地点

IF 1.2 2区 数学 Q3 STATISTICS & PROBABILITY
Alicja Kołodziejska
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引用次数: 0

摘要

研究了整数集上稀疏随机环境下随机行走的偏好点。步行者从一些随机选择的地点对称地移动,我们施加随机漂移。在两种情况下,我们证明了步行在其最喜欢的地点花费的时间的退火极限定理。第一个问题是,漂移的分布决定了行走的极限行为,这是对随机环境中随机行走已知结果的概括。在第二种情况下,由于环境的稀疏性,出现了一种新的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On favourite sites of a random walk in moderately sparse random environment
We study the favourite sites of a random walk evolving in a sparse random environment on the set of integers. The walker moves symmetrically apart from some randomly chosen sites where we impose random drift. We prove annealed limit theorems for the time the walk spends in its favourite sites in two cases. The first one, in which it is the distribution of the drift that determines the limiting behaviour of the walk, is a generalization of known results for a random walk in i.i.d. random environment. In the second case a new behaviour appears, caused by the sparsity of the environment.
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来源期刊
Stochastic Processes and their Applications
Stochastic Processes and their Applications 数学-统计学与概率论
CiteScore
2.90
自引率
7.10%
发文量
180
审稿时长
23.6 weeks
期刊介绍: Stochastic Processes and their Applications publishes papers on the theory and applications of stochastic processes. It is concerned with concepts and techniques, and is oriented towards a broad spectrum of mathematical, scientific and engineering interests. Characterization, structural properties, inference and control of stochastic processes are covered. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. All papers are refereed.
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